QC Metrics Summary

This QC Metrics Summary puts together the QC metrics returned by the Cell Ranger pipeline with multiomics, single cell or bulk sequencing data. It helps the user visualize the distribution of the QC metrics, helping identify outliers and batch effects. It also proposes different outlier detection methods.

Outlier Detection ?

Sample ID	Alerts	Outliers with Z-Score	Outliers with Dixon Q Test	Outliers with LOF
14	0	3 ( 1 Joint 2 ATAC )	4 ( 1 Joint 3 ATAC )	Outlier
5	3	0	0	0
3	3	0	0	0
10	0	1 ( 1 ATAC )	1 ( 1 ATAC )	0
9	3	0	0	0
6	2	1 ( 1 GEX )	1 ( 1 GEX )	0
12	2	0	1 ( 1 ATAC )	0
11	2	2 ( 2 Joint )	1 ( 1 Joint )	Outlier
8	3	0	0	0
2	1	2 ( 1 Joint 1 ATAC )	1 ( 1 Joint )	Outlier
7	1	0	0	0
13	0	0	0	0
4	0	1 ( 1 GEX )	1 ( 1 GEX )	0
A	2	0	2 ( 2 ATAC )	0